class_docstr: StreamIODataset
docstr: Creates an `StreamIODataset` from video capture device.
  
  Args:
    device: A string, the name of the device.
    name: A name prefix for the IODataset (optional).
  
  Returns:
    A `IODataset`.
docstr_tok: ["Creates","an","`","StreamIODataset","`","from","video","capture","device",".","Args",":","device",":","A","string",",","the","name","of","the","device",".","name",":","A","name","prefix","for","the","IODataset","(","optional",")",".","Returns",":","A","`","IODataset","`","."]
code: def from_video_capture(cls, device, **kwargs):
      """Creates an `StreamIODataset` from video capture device.
  
      Args:
        device: A string, the name of the device.
        name: A name prefix for the IODataset (optional).
  
      Returns:
        A `IODataset`.
      """
      with tf.name_scope(kwargs.get("name", "IOFromVideoCapture")):
          return video_dataset_ops.VideoCaptureIODataset(
              device, internal=True
          )
  
imports: import tensorflow
  from tensorflow_io.python.ops import io_dataset
  from tensorflow_io.python.experimental import libsvm_dataset_ops
  from tensorflow_io.python.experimental import image_dataset_ops
  from tensorflow_io.python.experimental import kinesis_dataset_ops
  from tensorflow_io.python.experimental import pubsub_dataset_ops
  from tensorflow_io.python.experimental import grpc_dataset_ops
  from tensorflow_io.python.experimental import file_dataset_ops
  from tensorflow_io.python.experimental import numpy_dataset_ops
  from tensorflow_io.python.experimental import sql_dataset_ops
  from tensorflow_io.python.experimental import video_dataset_ops
label_desc: Use image node_id 1 for calling the StreamIODataset obj's underlying member method code with example usage: obj.from_video_capture(cls, device) and returns: video_dataset_ops